Machine learning approach for non-invasive detection of blood glucose concentration using microwave sensor
People suffering from hyperglycaemia or diabetes mellitus are increasing day by day. The only commercial devices available to measure blood glucose levels are based on invasive methods, such as collecting blood samples from an individual and testing it. However, for a person, whose blood glucose...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75954 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | People suffering from hyperglycaemia or diabetes mellitus are increasing day by day.
The only commercial devices available to measure blood glucose levels are based on
invasive methods, such as collecting blood samples from an individual and testing it.
However, for a person, whose blood glucose levels have to be monitored at a regular
interval, the conventional invasive methods are painful, sore and thus not preferred. In
order to overcome these problems, non-invasive methods have to replace the
conventional forms. The non-invasive methods have not taken a commercial form yet.
This project is an attempt to develop a non-invasive glucose measurement method.
A non-invasive blood glucose measuring method based on Microwave transmission
and then applying Machine-learning technique for the data obtained is proposed for
monitoring the patients' blood glucose level. With this method, a non-invasive
measurement of the blood glucose determination of the earlobe portion can be realized
by analysing the received microwave signals. In this project, the coefficients of the
third order Cole-Cole equation are derived to model the dielectric properties of human
tissues. 'Particle swarm optimization' technique is used to determine the coefficients
for the glucose concentration dependent equations. With these estimated dielectric
values of human tissues, Human ear lobe portion is modelled in a simulation setup and
tested over a wide range of frequencies to check for the region of linearity. The
proposed method is validated by applying it to a solution prepared, which is
impersonating the dielectric properties of blood plasma and it is observed that the
region of linearity exists from 6 - 8 GHz. The proposed method of detecting blood
glucose concentration is very convenient and is harmless to the patients. |
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